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Tytuł artykułu

Image quality index of the monochrome archival photographs’ compression

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The recent process of digitalizing archives has increased the importance of choosing the best compression method and evaluating the quality of the compressed materials. Our paper focuses on monochrome photographs. We suggest a new image quality index partly based on Human Visual System. We think that, despite its simplicity, it is equal to Mean Subjective Rank. In addition, we intend to ascertain that (the index submitted by us) our index is very easy both to understand and to implement.
Rocznik
Strony
69--78
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Twórcy
autor
  • Humanistic and Economics University, ul. Rewolucji 1905 r. nr 64, 90-222 Łódź, Poland
autor
  • Humanistic and Economics University, ul. Rewolucji 1905 r. nr 64, 90-222 Łódź, Poland
Bibliografia
  • [1] Richardosn I. E. G., H.264 and MPEG-4 Video Compression (John Wiley and Sons Inc, 2003).
  • [2] Avcibaş I., Sankur B., Sayood K., Statistical evaluation of image quality measures, Journal of Electronic Imaging, 11(2) (2002): 2006–223.
  • [3] S. Grgić, M. Grgić, M. Mrak, Reliability of objective picture quality measures, Jornal of Electrical Engineering 55 (2003): 3–10.
  • [4] Braden C. J., Verscheure L., Verscheure O., Perceptual quality measure using a spatio temporal model of the human visual system, Acoustics, Speech and Signal Processing 4 (1996): 2291–2294.
  • [5] Wang Z., Bovik A., A universal image quality index, IEEE Signal Proc. Letters XX (2002): 1–6.
  • [6] Yang M., Kriegman J., Ahuja N., Detecting faces in image: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002): 34–58.
  • [7] Aguado A. S., Nixon M. S., A new hough transform mapping for ellipse detection, Research Journal Image Speech and Intelligent Signals 6 (1995).
  • [8] Prakash J., Rajesh K., Human face detection and segmentation using eigenvalues of covariance matrix, Hough transform and raster scan algorithms, Proc. of Word academy of science, engineering and technology 29 (2008): 372–380.
  • [9] Zhang H., Zuo W., Wang K., Zhang D., A Snake-based approach to automate segmentation of tongue image using polar edge detection, International Journal of Imaging Systems and Technology 16 (2006): 103–112.
  • [10] Pratt W. K., Digital Image Processing (John Wiley and Sons, Inc., 2001).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b9df8c3f-4278-49c7-a2d6-710915a7c756
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